Top Data Engineer Jobs in London

Design, build, and optimize data pipelines. Ensure data integrity, performance, and maintainability while collaborating with engineering teams. Act as a point of escalation for data issues.

As a Senior Data Engineer, you will design and develop large-scale data processing software, manage technical components, and mentor team members, while ensuring code quality and operational readiness.

As a Senior Data Engineer, you'll design and develop data processing solutions, collaborate with architects, mentor team members, and ensure operational readiness in agile teams.

As a Full Stack Software Engineer, you will design and build internal tooling for data observability, develop visualizations, and collaborate with data and business teams.

As a Senior Software Engineer, you will develop and maintain ClickHouse's data ecosystem, focusing on Python integrations with orchestration and transformation tools. You'll engage with the open-source community while enhancing performance and reliability for data practitioners.

As a Data Engineer, you will design, build, and maintain data pipelines and infrastructure to support data-driven decision-making in a collaborative environment.

The Forward Deployed Data Solution Engineer works embedded within teams to ensure software quality, guide technical decisions, and design integration patterns, focusing on AI-enabled capabilities and data governance.

As a Staff Engineer at Arbor, you'll lead data architecture strategies, oversee the data lifecycle, and collaborate across teams to enhance AI capabilities and data insights.

The Data Centre Engineer will manage data centre operations including design, installation, and maintenance of equipment while ensuring data safety and accessibility.

The Lead Data Engineer will define data engineering strategies, lead technical practices, manage teams, develop data solutions, and engage with stakeholders and clients.

The Senior Data Engineer will develop and maintain data pipelines, optimize SQL data models, and enhance data quality, collaborating with cross-functional teams.

Collaborate with traders and researchers to design and build robust data systems for trading analysis in a fast-paced environment.

Seeking a Front-End Engineer to lead UI architectural evolution, design component libraries, ensure performance, and guide technical leadership in a rapidly growing team.

As a Full-Stack Senior Software Engineer, you'll build and evaluate systems for a Generative AI assistant, working on data pipelines, APIs, and user-facing features while ensuring quality and compliance.

The Data Platform Engineer will scale and modernize the data lakehouse, build data products, write ETL processes, and support analytics across the business.

The E2 Data Governance Tooling Engineer will maintain and optimize Collibra platforms, troubleshoot issues, implement improvements, and ensure data quality standards are met.

The Senior Data Engineer will design and build scalable, high-performance data pipelines, integrating data sources for real-time analytics while collaborating with cross-functional teams.

As a Senior Software Engineer (Data), you’ll shape and scale data infrastructure, develop tooling, ensure platform security, and optimize CI/CD pipelines for enhanced analytics efficiency.

The Senior Data Platform Engineer role involves end-to-end project ownership, problem-solving, and delivering scalable data solutions. You'll collaborate across teams to shape data interactions, ensuring efficient analytics with a focus on reliability and security.

The Senior Data Engineer will design and implement scalable data pipelines in Azure, collaborate with teams to improve data quality and accessibility, and drive standardization across data practices.

The Data & Insight Engineer builds AI-driven analytics environments, automating insights, managing data pipelines, and designing semantic data models for reliable business analytics.

As Lead Data Engineer, you'll architect data systems for an AI product, building scalable pipelines and ML infrastructure while establishing engineering standards and mentoring future team members.

The Data Infrastructure Engineer will own the data lifecycle, architect high-reliability pipelines, and enhance infrastructure for AI agents.

Design and develop scalable reference-data services, automate lifecycle events, build/internal and external reporting (real-time and batch), collaborate with research and execution teams, maintain CI/CD and automated testing, and integrate Python and C# components to support trading and research workflows.

The Staff Backend Engineer will lead the technical vision for Depop's data platform, focusing on data ingestion, scalability, observability, and architecting data solutions while mentoring team members.